Matthew Gough

TL;DR: This paper proposes an effective HEMS design for the self-scheduling of assets of a residential end-user and considers the existence of a dynamic pricing scheme such as Real-Time Pricing, Time-of-Use, and Inclining Block Rate, which are effective Demand Response Programs (DRPs) put in place to alleviate the energy bill of consumers and incentivize demand-side participation in power systems.

TL;DR: Simulation results show that the self-scheduling approach proposed in this paper yields significant reductions in the electricity bills for different electricity tariffs.

TL;DR: The obtained results confirm that the coordinated model can efficiently handle the P2P transactive energy trading for different energy hubs, addressing the minimum data exchange issue, and achieving the least-cost operation of the energy hubs in the system.

TL;DR: In this article , the authors proposed a two-stage optimization model for the optimal sizing and siting of electrical energy storage devices (EESDs) in Smart Grids, accounting for the presence of time-varying electricity tariffs due to Demand Response Program (DRP) participation.

TL;DR: An innovative differential privacy (DP) compliant algorithm is developed to ensure that the data from consumer's smart meters are protected and provides privacy preservation in line with the consumer's preferences and does not lead to significant cost or loss increases for the energy retailer.